SystemBurn: Principles of Design and Operation Release 3.0
Abstract
As high performance computing technology progresses toward the progressively more extreme scales required to address critical computational problems of both national and global interest, power and cooling for these extreme scale systems is becoming a growing concern. A standardized methodology for testing system requirements under maximal system load and validating system environmental capability to meet those requirements is critical to maintaining system stability and minimizing power and cooling risks for high end data centers. Moreover, accurate testing permits the high end data center to avoid issues of under- or over-provisioning power and cooling capacity saving resources and mitigating hazards. Previous approaches to such testing have employed an ad hoc collection of tools, which have been anecdotally perceived to produce a heavy system load. In this report, we present SystemBurn, a software tool engineered to allow a system user to methodically create a maximal system load on large scale systems for the purposes of testing and validation.
- Authors:
-
- ORNL
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- Work for Others (WFO)
- OSTI Identifier:
- 1050395
- Report Number(s):
- ORNL/TM-2012/386
400890000; TRN: US201218%%998
- DOE Contract Number:
- DE-AC05-00OR22725
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; CAPACITY; DESIGN; PERFORMANCE; STABILITY; TESTING; VALIDATION; COMPUTERS; COMPUTER CODES; PROGRAMMING; systemburn; benchmark
Citation Formats
Dobson, Jonathan D, Kuehn, Jeffery A, Poole, Stephen W, Hodson, Stephen W, Glandon, Steven R, Reister, David B, Lewkow, Nicholas R, and Peek, Jacob T. SystemBurn: Principles of Design and Operation Release 3.0. United States: N. p., 2012.
Web. doi:10.2172/1050395.
Dobson, Jonathan D, Kuehn, Jeffery A, Poole, Stephen W, Hodson, Stephen W, Glandon, Steven R, Reister, David B, Lewkow, Nicholas R, & Peek, Jacob T. SystemBurn: Principles of Design and Operation Release 3.0. United States. https://doi.org/10.2172/1050395
Dobson, Jonathan D, Kuehn, Jeffery A, Poole, Stephen W, Hodson, Stephen W, Glandon, Steven R, Reister, David B, Lewkow, Nicholas R, and Peek, Jacob T. 2012.
"SystemBurn: Principles of Design and Operation Release 3.0". United States. https://doi.org/10.2172/1050395. https://www.osti.gov/servlets/purl/1050395.
@article{osti_1050395,
title = {SystemBurn: Principles of Design and Operation Release 3.0},
author = {Dobson, Jonathan D and Kuehn, Jeffery A and Poole, Stephen W and Hodson, Stephen W and Glandon, Steven R and Reister, David B and Lewkow, Nicholas R and Peek, Jacob T},
abstractNote = {As high performance computing technology progresses toward the progressively more extreme scales required to address critical computational problems of both national and global interest, power and cooling for these extreme scale systems is becoming a growing concern. A standardized methodology for testing system requirements under maximal system load and validating system environmental capability to meet those requirements is critical to maintaining system stability and minimizing power and cooling risks for high end data centers. Moreover, accurate testing permits the high end data center to avoid issues of under- or over-provisioning power and cooling capacity saving resources and mitigating hazards. Previous approaches to such testing have employed an ad hoc collection of tools, which have been anecdotally perceived to produce a heavy system load. In this report, we present SystemBurn, a software tool engineered to allow a system user to methodically create a maximal system load on large scale systems for the purposes of testing and validation.},
doi = {10.2172/1050395},
url = {https://www.osti.gov/biblio/1050395},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Sep 01 00:00:00 EDT 2012},
month = {Sat Sep 01 00:00:00 EDT 2012}
}